• How to use PI System Data in Python for making Predictions (Russian)

    In this webinar, we will demonstrate how AF Analytics can work as an advanced analytic tool. We show that the PI System is an open system where you can access data using tools such as PI OLEDB Enterprise, PI WEB API, PI SQL Client. During the webinar, we will cover the following topics: - Predictive models using data from the PI System developed in Python - Several different PI System data access methods - AF Analytics as an Advanced Analytical Tool ...
    Year: 2019

    Beat the Sheet: Escape the Spreadsheet with Automated Reports for Operational Data


    Year: 2019

    Advanced Analytics Best Practices Panel

    Life after PI - Analytics on top of PI. In this panel we will explore how innovative teams went about extracting and exposing plant data for corporate analytics, models, and machine-learning algorithms. We will discuss the best practices that leading ...
    Year: 2019

    Pfizer PI World San Francisco 2019 customer story

    For over 170 years, Pfizer has worked to bring breakthroughs that change patients’ lives through medicines, vaccines, and therapeutics around the world. While patients receive treatments in the form of a simple pill or injection, the process of discovering, developing, and manufacturing a drug is incredibly complex. It requires precision research and monitoring, relying heavily on operational data for visibility during the process. However, for Pfizer’s Small Molecule Division in Groton, Connecticut, operational data was siloed and only available within the physical building, increasing manual work, hindering collaboration and creating data latency issues. To reach its goal of doubling the innovation success rate while decreasing time to market, Pfizer needed a new data strategy. Using OSIsoft’s PI System, Pfizer embarked on a journey to digitize the drug discovery process and create a single source of truth for self-service operational insights.
    Year: 2019

    Intro to PI System: Introduction to Analytics with the PI System (G2)

    Sensor data in its raw form is not enough to monitor and make decisions on complex processes or systems. Equations from physics, thermodynamics, and other disciplines are used to make sensor data actionable. If you want to go further and ...
    Year: 2019